iPhone 14 Pro Max
Geekbench AI Score
3514
Single Precision Score
6064
Half Precision Score
4912
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 07:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2534
471.2 IPS |
|
|
Image Classification (Q)
|
96% |
1731
323.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1419
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2164
35.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2682
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
15145
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
12895
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2923
232.7 IPS |
|
|
Object Detection (Q)
|
94% |
2050
163.4 IPS |
|
|
Face Detection (SP)
|
100% |
3021
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6001
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3483
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6100
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12113
93.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8225
64.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18713
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28251
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23606
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4190
154.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4880
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3616
133.5 IPS |
|
|
Text Classification (SP)
|
100% |
2624
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4714
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4654
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5866
101.4 IPS |
|
|
Machine Translation (Q)
|
98% |
5864
101.3 IPS |
